1 0 SNES Function norm 33.3967 2 1 SNES Function norm 3.95646e-09 3L_2 Error: 7.89093 4Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 5SNES Object: 4 MPI processes 6 type: newtonls 7 maximum iterations=50, maximum function evaluations=10000 8 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 9 total number of linear solver iterations=16 10 total number of function evaluations=2 11 norm schedule ALWAYS 12 SNESLineSearch Object: 4 MPI processes 13 type: bt 14 interpolation: cubic 15 alpha=1.000000e-04 16 maxstep=1.000000e+08, minlambda=1.000000e-12 17 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 18 maximum iterations=40 19 KSP Object: 4 MPI processes 20 type: gmres 21 restart=100, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 22 happy breakdown tolerance 1e-30 23 maximum iterations=10000, initial guess is zero 24 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 25 left preconditioning 26 using PRECONDITIONED norm type for convergence test 27 PC Object: 4 MPI processes 28 type: hpddm 29 levels: 2 30 Neumann matrix attached? TRUE 31 coarse correction: deflated 32 on process #0, value (+ threshold if available) for selecting deflation vectors: 20 33 grid and operator complexities: 1.01463 1.10782 34 KSP Object: (pc_hpddm_levels_1_) 4 MPI processes 35 type: preonly 36 maximum iterations=10000, initial guess is zero 37 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 38 left preconditioning 39 using NONE norm type for convergence test 40 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 41 type: shell 42 no name 43 linear system matrix = precond matrix: 44 Mat Object: 4 MPI processes 45 type: mpiaij 46 total number of mallocs used during MatSetValues calls=0 47 not using I-node (on process 0) routines 48 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 49 type: bjacobi 50 number of blocks = 4 51 Local solver is the same for all blocks, as in the following KSP and PC objects on rank 0: 52 KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI processes 53 type: preonly 54 maximum iterations=10000, initial guess is zero 55 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 56 left preconditioning 57 using NONE norm type for convergence test 58 PC Object: (pc_hpddm_levels_1_sub_) 1 MPI processes 59 type: icc 60 out-of-place factorization 61 3 levels of fill 62 tolerance for zero pivot 2.22045e-14 63 using Manteuffel shift [POSITIVE_DEFINITE] 64 matrix ordering: natural 65 factor fill ratio given 1., needed 2.69786 66 Factored matrix follows: 67 Mat Object: 1 MPI processes 68 type: seqsbaij 69 package used to perform factorization: petsc 70 block size is 1 71 linear system matrix = precond matrix: 72 Mat Object: 1 MPI processes 73 type: seqaij 74 total number of mallocs used during MatSetValues calls=0 75 not using I-node routines 76 linear system matrix = precond matrix: 77 Mat Object: 4 MPI processes 78 type: mpiaij 79 total number of mallocs used during MatSetValues calls=0 80 not using I-node (on process 0) routines 81 KSP Object: (pc_hpddm_coarse_) 2 MPI processes 82 type: preonly 83 maximum iterations=10000, initial guess is zero 84 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 85 left preconditioning 86 using NONE norm type for convergence test 87 PC Object: (pc_hpddm_coarse_) 2 MPI processes 88 type: redundant 89 First (color=0) of 2 PCs follows 90 linear system matrix = precond matrix: 91 Mat Object: (pc_hpddm_coarse_) 2 MPI processes 92 type: mpisbaij 93 total number of mallocs used during MatSetValues calls=0 94 block size is 20 95 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI processes 96 type: preonly 97 maximum iterations=10000, initial guess is zero 98 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 99 left preconditioning 100 using NONE norm type for convergence test 101 PC Object: (pc_hpddm_coarse_redundant_) 1 MPI processes 102 type: cholesky 103 out-of-place factorization 104 tolerance for zero pivot 2.22045e-14 105 matrix ordering: natural 106 factor fill ratio given 5., needed 1.1 107 Factored matrix follows: 108 Mat Object: 1 MPI processes 109 type: seqsbaij 110 package used to perform factorization: petsc 111 block size is 20 112 linear system matrix = precond matrix: 113 Mat Object: 1 MPI processes 114 type: seqsbaij 115 total number of mallocs used during MatSetValues calls=0 116 block size is 20 117 linear system matrix = precond matrix: 118 Mat Object: 4 MPI processes 119 type: mpiaij 120 total number of mallocs used during MatSetValues calls=0 121 not using I-node (on process 0) routines 122